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| 1 |
+
---
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| 2 |
+
license: other
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| 3 |
+
base_model: apple/mobilevit-small
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| 4 |
+
tags:
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| 5 |
+
- generated_from_trainer
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| 6 |
+
datasets:
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| 7 |
+
- imagefolder
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| 8 |
+
metrics:
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| 9 |
+
- f1
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| 10 |
+
- accuracy
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| 11 |
+
model-index:
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| 12 |
+
- name: car_identified_model_12
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| 13 |
+
results:
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| 14 |
+
- task:
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| 15 |
+
name: Image Classification
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| 16 |
+
type: image-classification
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| 17 |
+
dataset:
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| 18 |
+
name: imagefolder
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| 19 |
+
type: imagefolder
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| 20 |
+
config: default
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| 21 |
+
split: train
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| 22 |
+
args: default
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| 23 |
+
metrics:
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| 24 |
+
- name: F1
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| 25 |
+
type: f1
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| 26 |
+
value: 0.9130434782608695
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| 27 |
+
- name: Accuracy
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| 28 |
+
type: accuracy
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| 29 |
+
value: 0.75
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| 30 |
+
---
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| 31 |
+
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| 32 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 33 |
+
should probably proofread and complete it, then remove this comment. -->
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| 34 |
+
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| 35 |
+
# car_identified_model_12
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| 36 |
+
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| 37 |
+
This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on the imagefolder dataset.
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| 38 |
+
It achieves the following results on the evaluation set:
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| 39 |
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- Loss: 0.5062
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| 40 |
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- F1: 0.9130
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| 41 |
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- Roc Auc: 0.9167
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| 42 |
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- Accuracy: 0.75
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| 43 |
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## Model description
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| 45 |
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| 46 |
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More information needed
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| 47 |
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## Intended uses & limitations
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| 49 |
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More information needed
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| 51 |
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| 52 |
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## Training and evaluation data
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| 53 |
+
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| 54 |
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More information needed
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| 55 |
+
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## Training procedure
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| 57 |
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| 58 |
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### Training hyperparameters
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| 59 |
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| 60 |
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The following hyperparameters were used during training:
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| 61 |
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- learning_rate: 2e-05
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| 62 |
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- train_batch_size: 16
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| 63 |
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- eval_batch_size: 16
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| 64 |
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- seed: 42
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| 65 |
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- gradient_accumulation_steps: 8
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| 66 |
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- total_train_batch_size: 128
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| 67 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 68 |
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- lr_scheduler_type: linear
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| 69 |
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- num_epochs: 300
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| 70 |
+
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| 71 |
+
### Training results
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| 72 |
+
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| 73 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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| 74 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
|
| 75 |
+
| 0.2599 | 1.0 | 1 | 0.6888 | 0.4211 | 0.5417 | 0.0 |
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| 76 |
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| 0.2599 | 2.0 | 2 | 0.6888 | 0.3590 | 0.4792 | 0.0 |
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| 77 |
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| 0.2599 | 3.0 | 4 | 0.6878 | 0.4103 | 0.5208 | 0.0 |
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| 78 |
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| 0.2599 | 4.0 | 5 | 0.6872 | 0.45 | 0.5417 | 0.0 |
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| 79 |
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| 0.2599 | 5.0 | 6 | 0.6864 | 0.5116 | 0.5625 | 0.0 |
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| 80 |
+
| 0.2599 | 6.0 | 8 | 0.6843 | 0.5238 | 0.5833 | 0.0833 |
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| 81 |
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| 0.2599 | 7.0 | 9 | 0.6828 | 0.5581 | 0.6042 | 0.1667 |
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| 82 |
+
| 0.2599 | 8.0 | 10 | 0.6813 | 0.5238 | 0.5833 | 0.0833 |
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| 83 |
+
| 0.2599 | 9.0 | 11 | 0.6803 | 0.45 | 0.5417 | 0.0833 |
|
| 84 |
+
| 0.2599 | 10.0 | 12 | 0.6794 | 0.4615 | 0.5625 | 0.0833 |
|
| 85 |
+
| 0.2599 | 11.0 | 14 | 0.6771 | 0.5128 | 0.6042 | 0.0833 |
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| 86 |
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| 0.2599 | 12.0 | 15 | 0.6762 | 0.5854 | 0.6458 | 0.0833 |
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| 87 |
+
| 0.2599 | 13.0 | 16 | 0.6751 | 0.6341 | 0.6875 | 0.25 |
|
| 88 |
+
| 0.2599 | 14.0 | 18 | 0.6731 | 0.6667 | 0.7083 | 0.25 |
|
| 89 |
+
| 0.2599 | 15.0 | 19 | 0.6721 | 0.7273 | 0.75 | 0.3333 |
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| 90 |
+
| 0.2599 | 16.0 | 20 | 0.6710 | 0.7273 | 0.75 | 0.3333 |
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| 91 |
+
| 0.2599 | 17.0 | 21 | 0.6698 | 0.7273 | 0.75 | 0.3333 |
|
| 92 |
+
| 0.2599 | 18.0 | 22 | 0.6690 | 0.7273 | 0.75 | 0.3333 |
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| 93 |
+
| 0.2599 | 19.0 | 24 | 0.6668 | 0.7273 | 0.75 | 0.3333 |
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| 94 |
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| 0.2599 | 20.0 | 25 | 0.6658 | 0.7273 | 0.75 | 0.3333 |
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| 95 |
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| 0.2599 | 21.0 | 26 | 0.6654 | 0.7273 | 0.75 | 0.3333 |
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| 96 |
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| 0.2599 | 22.0 | 28 | 0.6631 | 0.7273 | 0.75 | 0.3333 |
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| 97 |
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| 0.2599 | 23.0 | 29 | 0.6620 | 0.7273 | 0.75 | 0.3333 |
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| 98 |
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| 0.2599 | 24.0 | 30 | 0.6613 | 0.7273 | 0.75 | 0.3333 |
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| 99 |
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| 0.2599 | 25.0 | 31 | 0.6601 | 0.7273 | 0.75 | 0.3333 |
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| 100 |
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| 0.2599 | 26.0 | 32 | 0.6590 | 0.7273 | 0.75 | 0.3333 |
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| 101 |
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| 0.2599 | 27.0 | 34 | 0.6567 | 0.7273 | 0.75 | 0.3333 |
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| 102 |
+
| 0.2599 | 28.0 | 35 | 0.6554 | 0.7273 | 0.75 | 0.3333 |
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| 103 |
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| 0.2599 | 29.0 | 36 | 0.6545 | 0.7273 | 0.75 | 0.3333 |
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| 104 |
+
| 0.2599 | 30.0 | 38 | 0.6522 | 0.7273 | 0.75 | 0.3333 |
|
| 105 |
+
| 0.2599 | 31.0 | 39 | 0.6510 | 0.7273 | 0.75 | 0.3333 |
|
| 106 |
+
| 0.2599 | 32.0 | 40 | 0.6496 | 0.7273 | 0.75 | 0.3333 |
|
| 107 |
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| 0.2599 | 33.0 | 41 | 0.6485 | 0.7273 | 0.75 | 0.3333 |
|
| 108 |
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| 0.2599 | 34.0 | 42 | 0.6476 | 0.7273 | 0.75 | 0.3333 |
|
| 109 |
+
| 0.2599 | 35.0 | 44 | 0.6456 | 0.7273 | 0.75 | 0.3333 |
|
| 110 |
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| 0.2599 | 36.0 | 45 | 0.6448 | 0.7556 | 0.7708 | 0.3333 |
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| 111 |
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| 0.2599 | 37.0 | 46 | 0.6437 | 0.7556 | 0.7708 | 0.3333 |
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| 112 |
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| 0.2599 | 38.0 | 48 | 0.6418 | 0.7727 | 0.7917 | 0.4167 |
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| 113 |
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| 0.2599 | 39.0 | 49 | 0.6410 | 0.7727 | 0.7917 | 0.4167 |
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| 114 |
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| 0.2599 | 40.0 | 50 | 0.6402 | 0.7727 | 0.7917 | 0.4167 |
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| 115 |
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| 0.2599 | 41.0 | 51 | 0.6392 | 0.7727 | 0.7917 | 0.4167 |
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| 116 |
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| 0.2599 | 42.0 | 52 | 0.6380 | 0.7907 | 0.8125 | 0.5 |
|
| 117 |
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| 0.2599 | 43.0 | 54 | 0.6357 | 0.8182 | 0.8333 | 0.5833 |
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| 118 |
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| 0.2599 | 44.0 | 55 | 0.6349 | 0.8182 | 0.8333 | 0.5833 |
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| 119 |
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| 0.2599 | 45.0 | 56 | 0.6334 | 0.8000 | 0.8125 | 0.5 |
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| 120 |
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| 0.2599 | 46.0 | 58 | 0.6313 | 0.8000 | 0.8125 | 0.5 |
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| 121 |
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| 0.2599 | 47.0 | 59 | 0.6312 | 0.8000 | 0.8125 | 0.5 |
|
| 122 |
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| 0.2599 | 48.0 | 60 | 0.6302 | 0.8182 | 0.8333 | 0.5833 |
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| 123 |
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| 0.2599 | 49.0 | 61 | 0.6291 | 0.8182 | 0.8333 | 0.5833 |
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| 124 |
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| 0.2599 | 50.0 | 62 | 0.6279 | 0.8182 | 0.8333 | 0.5833 |
|
| 125 |
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| 0.2599 | 51.0 | 64 | 0.6254 | 0.8444 | 0.8542 | 0.6667 |
|
| 126 |
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| 0.2599 | 52.0 | 65 | 0.6241 | 0.8696 | 0.875 | 0.6667 |
|
| 127 |
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| 0.2599 | 53.0 | 66 | 0.6230 | 0.8696 | 0.875 | 0.6667 |
|
| 128 |
+
| 0.2599 | 54.0 | 68 | 0.6210 | 0.8936 | 0.8958 | 0.6667 |
|
| 129 |
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| 0.2599 | 55.0 | 69 | 0.6200 | 0.9130 | 0.9167 | 0.75 |
|
| 130 |
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| 0.2599 | 56.0 | 70 | 0.6192 | 0.9130 | 0.9167 | 0.75 |
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| 131 |
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| 0.2599 | 57.0 | 71 | 0.6175 | 0.8696 | 0.875 | 0.6667 |
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| 132 |
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| 0.2599 | 58.0 | 72 | 0.6171 | 0.9130 | 0.9167 | 0.75 |
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| 133 |
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| 0.2599 | 59.0 | 74 | 0.6157 | 0.9130 | 0.9167 | 0.75 |
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| 134 |
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| 0.2599 | 60.0 | 75 | 0.6147 | 0.9130 | 0.9167 | 0.75 |
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| 135 |
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| 0.2599 | 61.0 | 76 | 0.6140 | 0.9130 | 0.9167 | 0.75 |
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| 136 |
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| 0.2599 | 62.0 | 78 | 0.6120 | 0.9130 | 0.9167 | 0.75 |
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| 137 |
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| 0.2599 | 63.0 | 79 | 0.6107 | 0.9130 | 0.9167 | 0.75 |
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| 138 |
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| 0.2599 | 64.0 | 80 | 0.6088 | 0.8889 | 0.8958 | 0.6667 |
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| 139 |
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| 0.2599 | 65.0 | 81 | 0.6083 | 0.8889 | 0.8958 | 0.6667 |
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| 140 |
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| 0.2599 | 66.0 | 82 | 0.6076 | 0.9130 | 0.9167 | 0.75 |
|
| 141 |
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| 0.2599 | 67.0 | 84 | 0.6058 | 0.9130 | 0.9167 | 0.75 |
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| 142 |
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| 0.2599 | 68.0 | 85 | 0.6042 | 0.9130 | 0.9167 | 0.75 |
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| 143 |
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| 0.2599 | 69.0 | 86 | 0.6034 | 0.9130 | 0.9167 | 0.75 |
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| 144 |
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| 0.2599 | 70.0 | 88 | 0.6017 | 0.9130 | 0.9167 | 0.75 |
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| 145 |
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| 0.2599 | 71.0 | 89 | 0.6001 | 0.9130 | 0.9167 | 0.75 |
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| 146 |
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| 0.2599 | 72.0 | 90 | 0.5998 | 0.9130 | 0.9167 | 0.75 |
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| 147 |
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| 0.2599 | 73.0 | 91 | 0.5993 | 0.9130 | 0.9167 | 0.75 |
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| 148 |
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| 0.2599 | 74.0 | 92 | 0.5985 | 0.9130 | 0.9167 | 0.75 |
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| 149 |
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| 0.2599 | 75.0 | 94 | 0.5949 | 0.9130 | 0.9167 | 0.75 |
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| 150 |
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| 0.2599 | 76.0 | 95 | 0.5938 | 0.9130 | 0.9167 | 0.75 |
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| 151 |
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| 0.2599 | 77.0 | 96 | 0.5941 | 0.9130 | 0.9167 | 0.75 |
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| 152 |
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| 0.2599 | 78.0 | 98 | 0.5925 | 0.9130 | 0.9167 | 0.75 |
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| 153 |
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| 0.2599 | 79.0 | 99 | 0.5922 | 0.9130 | 0.9167 | 0.75 |
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| 0.2599 | 80.0 | 100 | 0.5911 | 0.9130 | 0.9167 | 0.75 |
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| 155 |
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| 0.2599 | 81.0 | 101 | 0.5905 | 0.9130 | 0.9167 | 0.75 |
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| 156 |
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| 0.2599 | 82.0 | 102 | 0.5893 | 0.9130 | 0.9167 | 0.75 |
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| 157 |
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| 0.2599 | 83.0 | 104 | 0.5872 | 0.9130 | 0.9167 | 0.75 |
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| 0.2599 | 84.0 | 105 | 0.5855 | 0.9130 | 0.9167 | 0.75 |
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| 159 |
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| 0.2599 | 85.0 | 106 | 0.5852 | 0.9130 | 0.9167 | 0.75 |
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| 160 |
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| 0.2599 | 86.0 | 108 | 0.5835 | 0.9130 | 0.9167 | 0.75 |
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| 161 |
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| 0.2599 | 87.0 | 109 | 0.5835 | 0.9130 | 0.9167 | 0.75 |
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| 162 |
+
| 0.2599 | 88.0 | 110 | 0.5831 | 0.9130 | 0.9167 | 0.75 |
|
| 163 |
+
| 0.2599 | 89.0 | 111 | 0.5822 | 0.9130 | 0.9167 | 0.75 |
|
| 164 |
+
| 0.2599 | 90.0 | 112 | 0.5815 | 0.9130 | 0.9167 | 0.75 |
|
| 165 |
+
| 0.2599 | 91.0 | 114 | 0.5803 | 0.9130 | 0.9167 | 0.75 |
|
| 166 |
+
| 0.2599 | 92.0 | 115 | 0.5779 | 0.9130 | 0.9167 | 0.75 |
|
| 167 |
+
| 0.2599 | 93.0 | 116 | 0.5770 | 0.9130 | 0.9167 | 0.75 |
|
| 168 |
+
| 0.2599 | 94.0 | 118 | 0.5758 | 0.9130 | 0.9167 | 0.75 |
|
| 169 |
+
| 0.2599 | 95.0 | 119 | 0.5748 | 0.9130 | 0.9167 | 0.75 |
|
| 170 |
+
| 0.2599 | 96.0 | 120 | 0.5744 | 0.9130 | 0.9167 | 0.75 |
|
| 171 |
+
| 0.2599 | 97.0 | 121 | 0.5739 | 0.9130 | 0.9167 | 0.75 |
|
| 172 |
+
| 0.2599 | 98.0 | 122 | 0.5730 | 0.9130 | 0.9167 | 0.75 |
|
| 173 |
+
| 0.2599 | 99.0 | 124 | 0.5710 | 0.9130 | 0.9167 | 0.75 |
|
| 174 |
+
| 0.2599 | 100.0 | 125 | 0.5703 | 0.9130 | 0.9167 | 0.75 |
|
| 175 |
+
| 0.2599 | 101.0 | 126 | 0.5687 | 0.9130 | 0.9167 | 0.75 |
|
| 176 |
+
| 0.2599 | 102.0 | 128 | 0.5664 | 0.9130 | 0.9167 | 0.75 |
|
| 177 |
+
| 0.2599 | 103.0 | 129 | 0.5657 | 0.9130 | 0.9167 | 0.75 |
|
| 178 |
+
| 0.2599 | 104.0 | 130 | 0.5657 | 0.9130 | 0.9167 | 0.75 |
|
| 179 |
+
| 0.2599 | 105.0 | 131 | 0.5639 | 0.9130 | 0.9167 | 0.75 |
|
| 180 |
+
| 0.2599 | 106.0 | 132 | 0.5642 | 0.9130 | 0.9167 | 0.75 |
|
| 181 |
+
| 0.2599 | 107.0 | 134 | 0.5617 | 0.9130 | 0.9167 | 0.75 |
|
| 182 |
+
| 0.2599 | 108.0 | 135 | 0.5604 | 0.9130 | 0.9167 | 0.75 |
|
| 183 |
+
| 0.2599 | 109.0 | 136 | 0.5598 | 0.9130 | 0.9167 | 0.75 |
|
| 184 |
+
| 0.2599 | 110.0 | 138 | 0.5579 | 0.9130 | 0.9167 | 0.75 |
|
| 185 |
+
| 0.2599 | 111.0 | 139 | 0.5566 | 0.8936 | 0.8958 | 0.75 |
|
| 186 |
+
| 0.2599 | 112.0 | 140 | 0.5561 | 0.9130 | 0.9167 | 0.75 |
|
| 187 |
+
| 0.2599 | 113.0 | 141 | 0.5567 | 0.8936 | 0.8958 | 0.75 |
|
| 188 |
+
| 0.2599 | 114.0 | 142 | 0.5571 | 0.8936 | 0.8958 | 0.75 |
|
| 189 |
+
| 0.2599 | 115.0 | 144 | 0.5536 | 0.8936 | 0.8958 | 0.75 |
|
| 190 |
+
| 0.2599 | 116.0 | 145 | 0.5537 | 0.8936 | 0.8958 | 0.75 |
|
| 191 |
+
| 0.2599 | 117.0 | 146 | 0.5510 | 0.8936 | 0.8958 | 0.75 |
|
| 192 |
+
| 0.2599 | 118.0 | 148 | 0.5496 | 0.8936 | 0.8958 | 0.75 |
|
| 193 |
+
| 0.2599 | 119.0 | 149 | 0.5492 | 0.9130 | 0.9167 | 0.75 |
|
| 194 |
+
| 0.2599 | 120.0 | 150 | 0.5492 | 0.9130 | 0.9167 | 0.75 |
|
| 195 |
+
| 0.2599 | 121.0 | 151 | 0.5490 | 0.9333 | 0.9375 | 0.75 |
|
| 196 |
+
| 0.2599 | 122.0 | 152 | 0.5483 | 0.9130 | 0.9167 | 0.75 |
|
| 197 |
+
| 0.2599 | 123.0 | 154 | 0.5464 | 0.9130 | 0.9167 | 0.75 |
|
| 198 |
+
| 0.2599 | 124.0 | 155 | 0.5477 | 0.9130 | 0.9167 | 0.75 |
|
| 199 |
+
| 0.2599 | 125.0 | 156 | 0.5469 | 0.9130 | 0.9167 | 0.75 |
|
| 200 |
+
| 0.2599 | 126.0 | 158 | 0.5445 | 0.9130 | 0.9167 | 0.75 |
|
| 201 |
+
| 0.2599 | 127.0 | 159 | 0.5450 | 0.9130 | 0.9167 | 0.75 |
|
| 202 |
+
| 0.2599 | 128.0 | 160 | 0.5436 | 0.9130 | 0.9167 | 0.75 |
|
| 203 |
+
| 0.2599 | 129.0 | 161 | 0.5433 | 0.9130 | 0.9167 | 0.75 |
|
| 204 |
+
| 0.2599 | 130.0 | 162 | 0.5417 | 0.9130 | 0.9167 | 0.75 |
|
| 205 |
+
| 0.2599 | 131.0 | 164 | 0.5416 | 0.9130 | 0.9167 | 0.75 |
|
| 206 |
+
| 0.2599 | 132.0 | 165 | 0.5403 | 0.9130 | 0.9167 | 0.75 |
|
| 207 |
+
| 0.2599 | 133.0 | 166 | 0.5404 | 0.9333 | 0.9375 | 0.75 |
|
| 208 |
+
| 0.2599 | 134.0 | 168 | 0.5390 | 0.9130 | 0.9167 | 0.75 |
|
| 209 |
+
| 0.2599 | 135.0 | 169 | 0.5389 | 0.9130 | 0.9167 | 0.75 |
|
| 210 |
+
| 0.2599 | 136.0 | 170 | 0.5376 | 0.9130 | 0.9167 | 0.75 |
|
| 211 |
+
| 0.2599 | 137.0 | 171 | 0.5374 | 0.9130 | 0.9167 | 0.75 |
|
| 212 |
+
| 0.2599 | 138.0 | 172 | 0.5372 | 0.9130 | 0.9167 | 0.75 |
|
| 213 |
+
| 0.2599 | 139.0 | 174 | 0.5348 | 0.9130 | 0.9167 | 0.75 |
|
| 214 |
+
| 0.2599 | 140.0 | 175 | 0.5356 | 0.9130 | 0.9167 | 0.75 |
|
| 215 |
+
| 0.2599 | 141.0 | 176 | 0.5355 | 0.9130 | 0.9167 | 0.75 |
|
| 216 |
+
| 0.2599 | 142.0 | 178 | 0.5323 | 0.9130 | 0.9167 | 0.75 |
|
| 217 |
+
| 0.2599 | 143.0 | 179 | 0.5323 | 0.9130 | 0.9167 | 0.75 |
|
| 218 |
+
| 0.2599 | 144.0 | 180 | 0.5332 | 0.9130 | 0.9167 | 0.75 |
|
| 219 |
+
| 0.2599 | 145.0 | 181 | 0.5320 | 0.9130 | 0.9167 | 0.75 |
|
| 220 |
+
| 0.2599 | 146.0 | 182 | 0.5315 | 0.9130 | 0.9167 | 0.75 |
|
| 221 |
+
| 0.2599 | 147.0 | 184 | 0.5301 | 0.9130 | 0.9167 | 0.75 |
|
| 222 |
+
| 0.2599 | 148.0 | 185 | 0.5284 | 0.9130 | 0.9167 | 0.75 |
|
| 223 |
+
| 0.2599 | 149.0 | 186 | 0.5296 | 0.9130 | 0.9167 | 0.75 |
|
| 224 |
+
| 0.2599 | 150.0 | 188 | 0.5301 | 0.9130 | 0.9167 | 0.75 |
|
| 225 |
+
| 0.2599 | 151.0 | 189 | 0.5282 | 0.9130 | 0.9167 | 0.75 |
|
| 226 |
+
| 0.2599 | 152.0 | 190 | 0.5263 | 0.9130 | 0.9167 | 0.75 |
|
| 227 |
+
| 0.2599 | 153.0 | 191 | 0.5263 | 0.9130 | 0.9167 | 0.75 |
|
| 228 |
+
| 0.2599 | 154.0 | 192 | 0.5270 | 0.9130 | 0.9167 | 0.75 |
|
| 229 |
+
| 0.2599 | 155.0 | 194 | 0.5274 | 0.9130 | 0.9167 | 0.75 |
|
| 230 |
+
| 0.2599 | 156.0 | 195 | 0.5264 | 0.9130 | 0.9167 | 0.75 |
|
| 231 |
+
| 0.2599 | 157.0 | 196 | 0.5281 | 0.9130 | 0.9167 | 0.75 |
|
| 232 |
+
| 0.2599 | 158.0 | 198 | 0.5232 | 0.9130 | 0.9167 | 0.75 |
|
| 233 |
+
| 0.2599 | 159.0 | 199 | 0.5218 | 0.9130 | 0.9167 | 0.75 |
|
| 234 |
+
| 0.2599 | 160.0 | 200 | 0.5212 | 0.9130 | 0.9167 | 0.75 |
|
| 235 |
+
| 0.2599 | 161.0 | 201 | 0.5214 | 0.9130 | 0.9167 | 0.75 |
|
| 236 |
+
| 0.2599 | 162.0 | 202 | 0.5222 | 0.9130 | 0.9167 | 0.75 |
|
| 237 |
+
| 0.2599 | 163.0 | 204 | 0.5210 | 0.9130 | 0.9167 | 0.75 |
|
| 238 |
+
| 0.2599 | 164.0 | 205 | 0.5207 | 0.9130 | 0.9167 | 0.75 |
|
| 239 |
+
| 0.2599 | 165.0 | 206 | 0.5210 | 0.9130 | 0.9167 | 0.75 |
|
| 240 |
+
| 0.2599 | 166.0 | 208 | 0.5195 | 0.9130 | 0.9167 | 0.75 |
|
| 241 |
+
| 0.2599 | 167.0 | 209 | 0.5217 | 0.9130 | 0.9167 | 0.75 |
|
| 242 |
+
| 0.2599 | 168.0 | 210 | 0.5207 | 0.9130 | 0.9167 | 0.75 |
|
| 243 |
+
| 0.2599 | 169.0 | 211 | 0.5190 | 0.9130 | 0.9167 | 0.75 |
|
| 244 |
+
| 0.2599 | 170.0 | 212 | 0.5181 | 0.9130 | 0.9167 | 0.75 |
|
| 245 |
+
| 0.2599 | 171.0 | 214 | 0.5183 | 0.9130 | 0.9167 | 0.75 |
|
| 246 |
+
| 0.2599 | 172.0 | 215 | 0.5183 | 0.9130 | 0.9167 | 0.75 |
|
| 247 |
+
| 0.2599 | 173.0 | 216 | 0.5202 | 0.9130 | 0.9167 | 0.75 |
|
| 248 |
+
| 0.2599 | 174.0 | 218 | 0.5180 | 0.9130 | 0.9167 | 0.75 |
|
| 249 |
+
| 0.2599 | 175.0 | 219 | 0.5189 | 0.9130 | 0.9167 | 0.75 |
|
| 250 |
+
| 0.2599 | 176.0 | 220 | 0.5157 | 0.9130 | 0.9167 | 0.75 |
|
| 251 |
+
| 0.2599 | 177.0 | 221 | 0.5168 | 0.9130 | 0.9167 | 0.75 |
|
| 252 |
+
| 0.2599 | 178.0 | 222 | 0.5161 | 0.9130 | 0.9167 | 0.75 |
|
| 253 |
+
| 0.2599 | 179.0 | 224 | 0.5160 | 0.9130 | 0.9167 | 0.75 |
|
| 254 |
+
| 0.2599 | 180.0 | 225 | 0.5178 | 0.9130 | 0.9167 | 0.75 |
|
| 255 |
+
| 0.2599 | 181.0 | 226 | 0.5166 | 0.9130 | 0.9167 | 0.75 |
|
| 256 |
+
| 0.2599 | 182.0 | 228 | 0.5146 | 0.9130 | 0.9167 | 0.75 |
|
| 257 |
+
| 0.2599 | 183.0 | 229 | 0.5143 | 0.9130 | 0.9167 | 0.75 |
|
| 258 |
+
| 0.2599 | 184.0 | 230 | 0.5128 | 0.9130 | 0.9167 | 0.75 |
|
| 259 |
+
| 0.2599 | 185.0 | 231 | 0.5111 | 0.9130 | 0.9167 | 0.75 |
|
| 260 |
+
| 0.2599 | 186.0 | 232 | 0.5119 | 0.9333 | 0.9375 | 0.75 |
|
| 261 |
+
| 0.2599 | 187.0 | 234 | 0.5116 | 0.9130 | 0.9167 | 0.75 |
|
| 262 |
+
| 0.2599 | 188.0 | 235 | 0.5099 | 0.9130 | 0.9167 | 0.75 |
|
| 263 |
+
| 0.2599 | 189.0 | 236 | 0.5108 | 0.9130 | 0.9167 | 0.75 |
|
| 264 |
+
| 0.2599 | 190.0 | 238 | 0.5102 | 0.9130 | 0.9167 | 0.75 |
|
| 265 |
+
| 0.2599 | 191.0 | 239 | 0.5103 | 0.9130 | 0.9167 | 0.75 |
|
| 266 |
+
| 0.2599 | 192.0 | 240 | 0.5102 | 0.9130 | 0.9167 | 0.75 |
|
| 267 |
+
| 0.2599 | 193.0 | 241 | 0.5102 | 0.9130 | 0.9167 | 0.75 |
|
| 268 |
+
| 0.2599 | 194.0 | 242 | 0.5110 | 0.9130 | 0.9167 | 0.75 |
|
| 269 |
+
| 0.2599 | 195.0 | 244 | 0.5093 | 0.9130 | 0.9167 | 0.75 |
|
| 270 |
+
| 0.2599 | 196.0 | 245 | 0.5102 | 0.9130 | 0.9167 | 0.75 |
|
| 271 |
+
| 0.2599 | 197.0 | 246 | 0.5094 | 0.9130 | 0.9167 | 0.75 |
|
| 272 |
+
| 0.2599 | 198.0 | 248 | 0.5082 | 0.9130 | 0.9167 | 0.75 |
|
| 273 |
+
| 0.2599 | 199.0 | 249 | 0.5069 | 0.9362 | 0.9375 | 0.8333 |
|
| 274 |
+
| 0.2599 | 200.0 | 250 | 0.5081 | 0.9130 | 0.9167 | 0.75 |
|
| 275 |
+
| 0.2599 | 201.0 | 251 | 0.5082 | 0.9130 | 0.9167 | 0.75 |
|
| 276 |
+
| 0.2599 | 202.0 | 252 | 0.5090 | 0.9130 | 0.9167 | 0.75 |
|
| 277 |
+
| 0.2599 | 203.0 | 254 | 0.5076 | 0.9130 | 0.9167 | 0.75 |
|
| 278 |
+
| 0.2599 | 204.0 | 255 | 0.5081 | 0.9130 | 0.9167 | 0.75 |
|
| 279 |
+
| 0.2599 | 205.0 | 256 | 0.5091 | 0.9130 | 0.9167 | 0.75 |
|
| 280 |
+
| 0.2599 | 206.0 | 258 | 0.5069 | 0.9130 | 0.9167 | 0.75 |
|
| 281 |
+
| 0.2599 | 207.0 | 259 | 0.5067 | 0.9130 | 0.9167 | 0.75 |
|
| 282 |
+
| 0.2599 | 208.0 | 260 | 0.5061 | 0.9362 | 0.9375 | 0.8333 |
|
| 283 |
+
| 0.2599 | 209.0 | 261 | 0.5076 | 0.9130 | 0.9167 | 0.75 |
|
| 284 |
+
| 0.2599 | 210.0 | 262 | 0.5082 | 0.9130 | 0.9167 | 0.75 |
|
| 285 |
+
| 0.2599 | 211.0 | 264 | 0.5069 | 0.9130 | 0.9167 | 0.75 |
|
| 286 |
+
| 0.2599 | 212.0 | 265 | 0.5074 | 0.9130 | 0.9167 | 0.75 |
|
| 287 |
+
| 0.2599 | 213.0 | 266 | 0.5077 | 0.9130 | 0.9167 | 0.75 |
|
| 288 |
+
| 0.2599 | 214.0 | 268 | 0.5058 | 0.9130 | 0.9167 | 0.75 |
|
| 289 |
+
| 0.2599 | 215.0 | 269 | 0.5063 | 0.9130 | 0.9167 | 0.75 |
|
| 290 |
+
| 0.2599 | 216.0 | 270 | 0.5059 | 0.9130 | 0.9167 | 0.75 |
|
| 291 |
+
| 0.2599 | 217.0 | 271 | 0.5059 | 0.9130 | 0.9167 | 0.75 |
|
| 292 |
+
| 0.2599 | 218.0 | 272 | 0.5050 | 0.9130 | 0.9167 | 0.75 |
|
| 293 |
+
| 0.2599 | 219.0 | 274 | 0.5056 | 0.9130 | 0.9167 | 0.75 |
|
| 294 |
+
| 0.2599 | 220.0 | 275 | 0.5053 | 0.9130 | 0.9167 | 0.75 |
|
| 295 |
+
| 0.2599 | 221.0 | 276 | 0.5058 | 0.9130 | 0.9167 | 0.75 |
|
| 296 |
+
| 0.2599 | 222.0 | 278 | 0.5051 | 0.9130 | 0.9167 | 0.75 |
|
| 297 |
+
| 0.2599 | 223.0 | 279 | 0.5047 | 0.9130 | 0.9167 | 0.75 |
|
| 298 |
+
| 0.2599 | 224.0 | 280 | 0.5041 | 0.9362 | 0.9375 | 0.8333 |
|
| 299 |
+
| 0.2599 | 225.0 | 281 | 0.5049 | 0.9130 | 0.9167 | 0.75 |
|
| 300 |
+
| 0.2599 | 226.0 | 282 | 0.5046 | 0.9362 | 0.9375 | 0.8333 |
|
| 301 |
+
| 0.2599 | 227.0 | 284 | 0.5078 | 0.9130 | 0.9167 | 0.75 |
|
| 302 |
+
| 0.2599 | 228.0 | 285 | 0.5064 | 0.9130 | 0.9167 | 0.75 |
|
| 303 |
+
| 0.2599 | 229.0 | 286 | 0.5065 | 0.9130 | 0.9167 | 0.75 |
|
| 304 |
+
| 0.2599 | 230.0 | 288 | 0.5066 | 0.9130 | 0.9167 | 0.75 |
|
| 305 |
+
| 0.2599 | 231.0 | 289 | 0.5058 | 0.9130 | 0.9167 | 0.75 |
|
| 306 |
+
| 0.2599 | 232.0 | 290 | 0.5067 | 0.9130 | 0.9167 | 0.75 |
|
| 307 |
+
| 0.2599 | 233.0 | 291 | 0.5079 | 0.9130 | 0.9167 | 0.75 |
|
| 308 |
+
| 0.2599 | 234.0 | 292 | 0.5085 | 0.9130 | 0.9167 | 0.75 |
|
| 309 |
+
| 0.2599 | 235.0 | 294 | 0.5073 | 0.9130 | 0.9167 | 0.75 |
|
| 310 |
+
| 0.2599 | 236.0 | 295 | 0.5023 | 0.9362 | 0.9375 | 0.8333 |
|
| 311 |
+
| 0.2599 | 237.0 | 296 | 0.5030 | 0.9362 | 0.9375 | 0.8333 |
|
| 312 |
+
| 0.2599 | 238.0 | 298 | 0.5044 | 0.9130 | 0.9167 | 0.75 |
|
| 313 |
+
| 0.2599 | 239.0 | 299 | 0.5055 | 0.9130 | 0.9167 | 0.75 |
|
| 314 |
+
| 0.2599 | 240.0 | 300 | 0.5062 | 0.9130 | 0.9167 | 0.75 |
|
| 315 |
+
|
| 316 |
+
|
| 317 |
+
### Framework versions
|
| 318 |
+
|
| 319 |
+
- Transformers 4.35.0
|
| 320 |
+
- Pytorch 2.1.0+cu121
|
| 321 |
+
- Datasets 2.14.6
|
| 322 |
+
- Tokenizers 0.14.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 19856696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72aa9bbd532a1576fad8e335551073cbec76bd49ed1a861d79ac0889efc24360
|
| 3 |
size 19856696
|